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High-Fidelity Data Embedding for Image Annotation

delete2009-02-01
delete11
PRE
AI
S
Shan He *
D
Darko Kirovski
吴
吴敏 (Min Wu)
DOI:10.1109/TIP.2008.2008733delete
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摘要

摘要

En 中文
High fidelity is a demanding requirement for data hiding, especially, for images with artistic or medical value. This correspondence proposes a high-fidelity image watermarking for annotation with robustness to moderate distortion. To achieve the high fidelity of the embedded image, we introduce a visual perception model that aims at quantifying the local tolerance to noise for arbitrary imagery. Based on this model, we embed two kinds of watermarks: a pilot watermark that indicates the existence of the watermark and an information watermark that conveys a payload of several dozen bits. The objective is to embed 32 bits of metadata into a single image in such a way that it is robust to JPEG compression and cropping. We demonstrate the effectiveness of the visual model and the application of the proposed annotation technology using a database of challenging photographic and medical images that contain a large amount of smooth regions.
Keyword:
High fidelity
human visual model
image annotation
image watermarking
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Image Processing 封面图
IEEE Transactions on Image Processing
IF:
13.7
论文数:
1.0W
被引数:
8.4W

机构

University System of Maryland 封面图
University System of Maryland
学者数:
6.5W
论文数: 5.6W
被引数: 113
M
Microsoft
学者数:
3.0K
论文数: 2.7K
被引数: 7
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